That's promising, is there a way to integrate this with other filters in the SQL query? Scenario: let's say I have documents and each one has a timestamp and an embedding vector. I should be able to write a query like this:

select * from documents where timestamp=today() order by similarity(embedding, query_vector)

In this case the query planner should be smart enough such that it first filters by timestamp and within those records remaining it does the HNSW search. I'm unsure whether SQLite's extension interface is flexible enough to support this.